The unit distance problem, a famous geometry challenge posed by Hungarian mathematician Paul Erdős in 1946, has been solved by an AI model from OpenAI. This problem asks how many pairs of points can be arranged exactly one unit apart on a flat plane. For decades, mathematicians believed that square-grid patterns provided the optimal solution, with Erdős proposing that the number of unit-distance pairs would grow only slightly faster than linearly with more points. However, OpenAI's breakthrough revealed an infinite family of arrangements that significantly increase the number of unit-distance pairs. The AI's approach connected the problem to algebraic number theory, utilizing advanced concepts like infinite class field towers, which are rarely applied to geometry. This unexpected connection has prompted mathematicians to reconsider older geometric problems and explore new avenues in discrete geometry. The achievement has been recognized as a significant milestone in the field of AI mathematics, with implications for various scientific disciplines beyond mathematics.